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This project is an Email Spam Detector built using Python and deployed through a Streamlit web interface. The goal of the application is to automatically classify emails as either "Spam" or "Not Spam" based on their content. It uses Natural Language Processing (NLP) techniques for text preprocessing and a machine learning model (e.g., Naive Bayes or Logistic Regression) trained on a labeled dataset of emails.

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